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Introduction
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Classroom Contents
Just-So Stories for AI - Explaining Black-Box Predictions
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- 1 Introduction
- 2 Outline
- 3 Stripe
- 4 Rules
- 5 Models
- 6 Decision Trees
- 7 Random Forest
- 8 Explanations
- 9 Intuition
- 10 Structure
- 11 Algorithm
- 12 Explanation
- 13 Elephant Trunk
- 14 Observation
- 15 Lime
- 16 AI Rationalisation
- 17 Frogger
- 18 Methow submodel interpretability
- 19 Human interpretability
- 20 Peter Norvig
- 21 Roger Sperry
- 22 Homo Deus
- 23 Algorithms
- 24 Explanations are harmful
- 25 Why explanations are important
- 26 Human compatible AI
- 27 Data protection regulation
- 28 Clarify our ethics
- 29 Conclusion
